Nikhil Garg

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Nikhil Garg trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. M. Wetherell
  2. Janet Holmes
  3. Tomas Mikolov
  4. Jeffrey Pennington
  5. Tolga Bolukbasi
  6. Richard Socher
  7. Ilya Sutskever
  8. Duncan K. Foley
  9. Loukas Karabarbounis
  10. Jonathan Potter

Who trusts Nikhil Garg overall

  1. Rasmus Précenth
  2. Karolina Stańczak
  3. Tessa E. S. Charlesworth
  4. Michal Kosinski
  5. Su Lin Blodgett
  6. Anjalie Field
  7. Yulia Tsvetkov
  8. Kokil Jaidka
  9. Zahra Fatemi
  10. Xavier Ferrer Aran

Papers from Nikhil Garg's perspective

Ordered by how strongly the researchers Nikhil Garg trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. GloVe: Global Vectors for Word Representation
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers